Providing a routing method in Internet of Things networks based on fuzzy logic and clustering For use in smart transportatio

This research aims to provide a routing method in Internet of Things networks based on fuzzy logic and clustering for the use of intelligent transportation. Today, transportation is one of the main issues and major problems in cities, and this issue has become an important concern in larger cities such as Tehran. Therefore, transportation systems have been created and expanded. But rapid population growth, migration to cities, increasing car ownership and the use of personal vehicles are the challenges that urban transportation systems are facing. Meanwhile, passenger transportation systems can play a significant role in improving the city's traffic situation. Cluster-based routing protocols are one of the most important ways to reduce energy consumption in wireless sensor networks. In this article, a new clustering protocol is presented using the bee colony optimization algorithm, which is a new method to reduce energy consumption and improve the network lifetime. Wireless sensor network routing includes three stages of clustering sensor nodes into a number of clusters using fuzzy clustering algorithm, selecting optimal cluster heads and data transmission. The results of implementing the proposed method and comparing its performance with previous methods in this field show the appropriate performance of this method.